here are my Data Science university course Projects about Transportation!
This repository contains a collection of Data Science projects focused on various aspects of the transportation industry. Each project is organized in a separate folder and includes Jupyter Notebooks that demonstrate the analysis, modeling, and visualization of transportation data. The datasets used in these projects are also provided within their respective folders.
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Project 1: Traffic Accident Analysis
- Jupyter Notebook: Analyzes traffic accident data to identify key trends, risk factors, and predictive models for accident occurrence.
- Dataset: Contains data related to traffic accidents, including location, time, weather conditions, and severity of accidents.
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Project 2: Public Transit Demand Forecasting
- Jupyter Notebook: Focuses on forecasting public transit demand using historical data and machine learning models to improve service planning and resource allocation.
- Dataset: Includes historical ridership data, weather conditions, and other relevant factors influencing public transit usage.
Each project is self-contained, with all necessary data and code provided, making it easy to follow and replicate the analyses.